We are organizing an invited session on Intelligent Data Analysis and Applications for IEEE GrC 2014,
which will be held in Noboribetsu, Hokkaido, Japan on October 22-24.

Topics of interest include, but are not limited to:

Machine Learning

Data Mining and Discovery

Attribute Reduction

Rough Set Applied to Data Analysis

Fuzzy Set Applied to Data Analysis

Genetic Algorithms Applied to Data Analysis

Neural Network Applied to Data Analysis

Statistical Data Analysis

Applications of Data Analysis

Other New Approaches to Data Analysis

Submissions:
All contributions should be original and not published elsewhere or intended to be published during the review period.
To ensure high quality, all papers will be peer-reviewed. Electronic submissions only PDF files to Prof. Chun-Hao Chen:

Aim and Scope:
Management/Treatment of uncertainty is one of the most interesting
topics in Granular Computing. The purpose of this special session is to
provide and discuss various approaches to uncertainty from a viewpoint
of Granular Computing (GrC).

Aim and Scope:
Soft computing methods are the most strong and important tools in many
fields such as data mining, machine learning, and pattern recognition.
These days, big data such as social data have attracted interest of
many researchers because the data have many significant and useful
knowledge implicitly. For finding such knowledge from the data, many
data analysis algorithms have been proposed with soft computing
methods such as fuzzy theory, rough sets theory, clustering, kernel functions,
tolerance and visualization, and developed into various applications
such as text mining.
In this special session, leading-edge works of data analysis and its
applications
with soft computing methods will be described and discussed with
useful applications in the real world.

Introduction:
Granular Computing (GrC) is an emerging computational and mathematical theories that involve the concept of granules.
A granule can be a sub-Turing machine, a piece of elementary knowledge, or a region of uncertainty, which can be viewed as elements of human intelligence.
Though the label is relatively recent, the basic notions and principles, though under different names, have appeared in many related fields, such as neighborhood systems and infinitesimals in the foundation of granular computing, divide and conquer in theoretical computer science, information hiding in software engineering, interval computing, fuzzy and rough set theories probability/possibility/belief measures in uncertainty mathematics, granularity in artificial intelligence, neutrosophic computing, quotient space theory, machine learning, databases, and many others.
This special session will give a research forum in which researchers on cognitive computing, intelligent computing and granular computing can exchange their ideas.

Topics of interest include, but are not limited to:

Data Mining for Service

Web Intelligence

Intelligent Computing

Cognitive Informatics

Submissions:
All contributions should be original and not published elsewhere or intended to be published during the review period. To ensure high quality, all papers will be peer-reviewed. Electronic submissions only PDF files to Shusaku Tsumoto:

Objectives and Scope:
Computational Intelligence (CI) is a multidisciplinary field that includes neural networks, fuzzy
logic, and evolutionary computation. This field is playing an important role in many research
areas and is a broad and active research area that is growing rapidly due to the many successful
applications of these new techniques in very diverse problems. Many industries have benefited
from adopting this technology. The aim of this Organized Session is to develop and clarify
theory and applications of CI.